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Theoretical Advances in Neural Computation and Learning Kai-yeung Siu
Theoretical Advances in Neural Computation and Learning
Kai-yeung Siu
This text examines some of the recent advances in the development of a theoretical framework for studying neural networks. It emphasizes the computational issues in artificial neural networks and compiles a set of pioneering research works for the study of neural networks and machine learning.
468 pages, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | November 30, 1994 |
| ISBN13 | 9780792394785 |
| Publishers | Kluwer Academic Publishers |
| Pages | 468 |
| Dimensions | 156 × 234 × 26 mm · 866 g |
| Language | English |
| Editor | Etc. |
| Editor | Roychowdhury, Vwani |